code: def run_load_args(options, mod, load_args):
      if not hasattr(load_args, "_version"):
          log.warning(
              "load_args does not have a _version attribute, please file a bug to PyTorch "
              "and describe how you generate this repro script"
          )
      else:
          if load_args._version > 0:
              log.warning(
                  "load_args is version %s, but this version of PyTorch only supports "
                  "version 0.  We will try to run it anyway but there may be an incompatibility; "
                  "if so, try upgrading your version of PyTorch.",
                  load_args._version,
              )
  
      nop_reader = NopInputReader()
      load_args(nop_reader)
  
      with tqdm(desc="Loading inputs", total=nop_reader.total) as pbar:
          input_reader = InputReader(
              save_dir=options.save_dir, pbar=pbar
          )
          load_args(input_reader)
          args = input_reader.args
  
      return args
  
imports: import argparse
  import copy
  import functools
  import logging
  import os
  import shutil
  import sys
  import textwrap
  from importlib import import_module
  from typing import Union
  import torch
  import torch.fx
  from torch._dynamo.debug_utils import AccuracyError, backend_accuracy_fails, BUCK_CMD_PREFIX, BuckTargetWriter, extra_imports, generate_config_string, helper_for_dump_minify, InputReader, InputWriter, minifier_dir, NNModuleToString, NopInputReader, run_fwd_maybe_bwd, same_two_models
  from torch.fx.experimental.symbolic_shapes import fx_placeholder_targets
  from torch.hub import tqdm
  from ..None import config
  from ..backends.registry import lookup_backend, register_debug_backend
  from ..debug_utils import clone_inputs_retaining_gradness
label_desc: Use image node_id 9 for calling a global function with example usage: run_load_args(options, mod, load_args) and returns: args